Principal Agentic Engineer
Eli Lilly and Company11 hours ago
Hyderābād, IndiaStaff+
Responsibilities
- Architect and own the agentic resolution platform from intake and classification through action execution, verification, and human fallback.
- Build agent runtimes and orchestration capabilities for state, memory, tool integration, multi-agent coordination, and confidence-based handoffs.
- Design production LLM patterns including prompt engineering, retrieval-augmented generation, structured outputs, multi-model routing, and hybrid retrieval.
- Establish knowledge-base, evaluation, quality-scoring, drift-detection, guardrail, and feedback-loop strategies for non-deterministic systems.
- Architect and operate Kubernetes-based container and serverless workloads, and build production platform services and internal tooling in Python or Go.
- Define Terraform infrastructure integrated with a major cloud AI stack, including secrets management and audit-ready controls.
- Build CI/CD pipelines with model and agent versioning, canary or blue-green deployment, evaluation gates, and rollback capabilities.
- Own Prometheus, Grafana, OpenTelemetry, and enterprise observability integrations for platform, agent, and model-inference telemetry.
- Establish SLOs, SLIs, reliability standards, self-service patterns, and golden-path templates.
- Own network policies, pod security, secrets rotation, vulnerability scanning, and access controls in a regulated environment.
- Partner with reliability engineers and senior architects, conduct architectural reviews, mentor engineers, and influence enterprise engineering practices.
- Deliver measurable improvements in automation deflection, operational toil, incident recurrence, platform uptime, and developer velocity.
Requirements
- 10+ years of progressive technology experience with substantial hands-on architecture and delivery of automation, AIOps, agentic systems, or cloud-native platforms at enterprise scale.
- Demonstrated ownership of measurable production deflection or operational-toil-reduction outcomes.
- Deep experience with agent runtimes, multi-agent orchestration, tool integration, memory, state management, and at least one of LangGraph, LangChain, LlamaIndex, or MCP.
- Production experience with prompt engineering, retrieval-augmented generation, structured outputs, and multi-model routing.
- Deep experience with Kubernetes at scale, container workloads, Terraform, and at least one of AWS Bedrock/SageMaker, Azure AI Foundry, or Vertex AI.
- Expert-level Python experience for production services; Go experience is welcome.
- Strong CI/CD experience for AI and agentic workloads, including deployment, versioning, canary or blue-green strategies, evaluation gates, and rollback.
- Experience with metrics, logs, traces, and agent-decision telemetry using Prometheus, Grafana, OpenTelemetry, and an enterprise stack such as Splunk, Datadog, or Dynatrace.
- Experience establishing automated evaluations, drift detection, human-in-the-loop verification, guardrails, and feedback loops.
- Strong security engineering foundation involving network policies, secrets management, vulnerability scanning, and access controls.
- Bachelor's degree or higher in Computer Science, Information Technology, or a closely related field.
- Exceptional communication skills and ability to translate technical strategy for senior business and technology leadership.
- Preferred qualifications include operational ML, AI observability, ServiceNow and Microsoft Teams integrations, vector databases, internal developer platforms, REST/gRPC APIs, distributed systems, policy-as-code, AWS cloud services, FinOps, regulated-industry experience, React, and TypeScript.
Benefits
- Onsite role based in Hyderabad.
- Flexible work hours and different shifts may be required to support global delivery partners and continuous operations, including some weekends and holidays.
- Appropriate benefit adjustments are provided where applicable for employees working non-standard hours.
- Disability accommodations and equal employment opportunity are provided.
Tech Stack
Categories
About Eli Lilly and Company
Eli Lilly and Company researches, develops, manufactures, and markets prescription medicines and biologics for patients, sold through healthcare providers, pharmacies, and payers. Core therapeutic areas include diabetes, oncology, immunology, neuroscience, and obesity. Founded in 1876 and headquartered in Indianapolis, it is a public company (NYSE: LLY) with global operations and is building a new advanced manufacturing site for gene therapy and other modalities in Lebanon, Indiana.